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higher education in the fields of technology and natural sciences. With over 26,000 students and more than 4000 scientists, research, teaching, and learning dedicated to the advancement of science and
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. Close collaboration with research groups in theoretical solid-state physics/chemistry, machine learning, and artificial intelligence is expected. Close cooperation with industrial partners and the
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excellent research in Visualization and Data Science, as well as applied research in Human-Computer Interaction and Machine Learning. The research objective of this position is to design and conduct studies
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Analysis and Machine Learning. The research areas cover a wide range of challenging topics such as (infinte dimensional) stochastic analysis, affine and polynomial processes, rough paths, signature methods
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. program and will work on the development and analysis of statistical methods for machine learning, particularly in the context of high-dimensional models and with a particular focus on methods such as
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Sciences, who develop, manage, and refine machine learning techniques for identifying copyists; Participation in the dissemination of research results through presentations and publications; Data management
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lit. b (postdoc) Limited until: 31.12.2029 Reference no.: 4269 Among the many good reasons to want to research and teach at the University of Vienna, there is one in particular, which has convinced
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completed doctoral degree (PhD) in data science, computer science, statistics, mathematics, natural sciences or related disciplines in-depth knowledge of data mining, data science, machine learning
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empirical social research in sociology such as causal inference or machine learning or complex panel data analysis. We are seeking excellent applicants with an international research portfolio and network
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spoken German/ willingness to learn German Computer skills: MATLAB and/or R desirable You are motivated and self-propelled You are flexible and creative You should be a team player with high social skills